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Stochastic models for micromechanics and multiscale fracture analysis of functionally graded materials.

机译:功能梯度材料的微观力学和多尺度断裂分析的随机模型。

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The overall objective of this study is to develop new stochastic micromechanical and multiscale models for elastic properties and fracture analysis of functionally graded materials (FGMs) involving random microstructure and constituent material properties. To meet the objective, five major research directions have been defined: (1) development of a new stochastic micromechanical model for predicting probabilistic characteristics of effective elastic properties; (2) development of new stochastic multiscale models for two-dimensional fracture analysis; (3) performance of a parametric study to evaluate the effects of microstructural parameters on crack-driving forces; (4) development of a new polynomial dimensional decomposition method to account for discrete particle locations in stochastic fracture, and (5) extension of the stochastic concurrent multiscale model for solving three-dimensional fracture problems.;First, a new stochastic micromechanical model was developed for predicting probabilistic characteristics of elastic mechanical properties of an isotropic FGM subject to statistical uncertainties in constituent material properties and their respective volume fractions. The model provides both accurate and computationally efficient estimates of probabilistic characteristics of effective FGM properties. Second, three multiscale models, comprising sequential, invasive, and concurrent models, were developed for fracture analysis of a two-phase FGM. The models involve stochastic descriptions of microstructural features and constituent material properties; a two-scale algorithm including microscale and macroscale analyses for determining crack-driving forces; and two stochastic methods for uncertainty propagation. Results indicate that the concurrent multiscale model is sufficiently accurate, gives probabilistic solutions very close to those generated from the microscale model, and can reduce the computational effort of the latter model by more than a factor of two. Third, employing the concurrent multiscale model, a parametric study on fracture behavior of FGMs was performed. The study involves stochastic descriptions of FGM microstructure and constituent elastic properties and limited crack-propagation simulations. Fourth, a computationally efficient polynomial dimensional decomposition method was developed to accurately capture the fracture results obtained using the concurrent multi-scale model. Finally, the newly developed efficient stochastic method was employed to solve a three-dimensional fracture problem. Results indicate that the crack-driving forces can vary significantly along the crack front.
机译:这项研究的总体目标是开发新的随机微机械模型和多尺度模型,用于功能梯度材料(FGM)的弹性性能和断裂分析,涉及随机的微观结构和组成材料的性能。为了实现这一目标,已经确定了五个主要的研究方向:(1)开发一种新的随机微机械模型,用于预测有效弹性性能的概率特征; (2)开发用于二维断裂分析的新的随机多尺度模型; (3)进行参数研究以评估微观结构参数对裂纹驱动力的影响; (4)提出了一种新的能解决随机断裂中离散颗粒位置的多项式分解方法,(5)扩展了用于解决三维断裂问题的随机并发多尺度模型。首先,开发了一种新的随机微力学模型用于预测各向同性FGM的弹性力学性能的概率特性,该特性受组成材料特性及其各自体积分数的统计不确定性的影响。该模型提供了有效FGM属性的概率特征的准确和计算有效的估计。其次,开发了三个多尺度模型,包括顺序模型,侵入模型和并发模型,用于两相FGM的断裂分析。这些模型包括对微观结构特征和组成材料特性的随机描述。用于确定裂纹驱动力的包括微观和宏观分析在内的两尺度算法;和两种用于不确定性传播的随机方法。结果表明并发多尺度模型足够准确,给出的概率解与从微尺度模型生成的概率解非常接近,并且可以将后者模型的计算量减少两倍以上。第三,采用并发多尺度模型,对FGMs的断裂行为进行了参数研究。这项研究涉及FGM微观结构和组成弹性特性的随机描述以及有限的裂纹扩展模拟。第四,开发了一种计算有效的多项式维分解方法,以准确捕获使用并发多尺度模型获得的裂缝结果。最后,采用新近开发的高效随机方法解决了三维断裂问题。结果表明,沿裂纹前沿,裂纹驱动力会发生显着变化。

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